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A Discrete Bouncy Particle Sampler
17 July 2017
Chris Sherlock
Alexandre Hoang Thiery
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Papers citing
"A Discrete Bouncy Particle Sampler"
11 / 11 papers shown
Title
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution
Naoki Yoshida
Shogo H. Nakakita
Masaaki Imaizumi
62
1
0
23 Jun 2024
Scaling of Piecewise Deterministic Monte Carlo for Anisotropic Targets
J. Bierkens
K. Kamatani
Gareth O. Roberts
50
1
0
01 May 2023
The Application of Zig-Zag Sampler in Sequential Markov Chain Monte Carlo
Yu Han
Kazuyuki Nakamura
50
2
0
18 Nov 2021
Delayed rejection Hamiltonian Monte Carlo for sampling multiscale distributions
Chirag Modi
A. Barnett
Bob Carpenter
98
14
0
01 Oct 2021
Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees
Achille Thin
Nikita Kotolevskii
Christophe Andrieu
Alain Durmus
Eric Moulines
Maxim Panov
50
6
0
31 Dec 2020
A general perspective on the Metropolis-Hastings kernel
Christophe Andrieu
Anthony Lee
Samuel Livingstone
81
25
0
29 Dec 2020
Reversible Jump PDMP Samplers for Variable Selection
Augustin Chevallier
Paul Fearnhead
Matthew Sutton
65
18
0
22 Oct 2020
Non-reversible guided Metropolis kernel
K. Kamatani
Xiaolin Song
14
1
0
12 May 2020
Parallelising MCMC via Random Forests
Changye Wu
Christian P. Robert
20
5
0
21 Nov 2019
Hug and Hop: a discrete-time, non-reversible Markov chain Monte-Carlo algorithm
Matthew Ludkin
Chris Sherlock
54
8
0
29 Jul 2019
Exponential Ergodicity of the Bouncy Particle Sampler
George Deligiannidis
Alexandre Bouchard-Côté
Arnaud Doucet
114
49
0
12 May 2017
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